Finding Donors for CharityML

Construct a model that accurately predicts whether an individual makes more than $50000 per year.

Results:

The Gradient Boosting Classifier shows the best score (accuracy score of 0.87) in predicting individuals that make more than $50000 per year.

Strategy:

Create a pipeline, implementation and tunning of the best classifier (F-score, acccurary, time) between Random Forest, AdaBoost and Gradient Boosting over a 13-features dataset of data collected from the 1994 U.S. Census (UCI Machine Learning Repository).

Skills:

• Machinie Learning
• Supervised Learning

Tools:

• Python
• Pandas
• Sklearn
• Jupyter notebooks

Origin:

Project 1 of the Introduction to Machine Learning with TensorFlow nanodegree program by Udacity

Bertelsmann Technology Scholarship Program - Phase 2